|
1 | | -# **GraphBLAS Algorithms** |
2 | | - |
| 1 | + |
| 2 | +<br> |
3 | 3 | [](https://anaconda.org/conda-forge/graphblas-algorithms) |
4 | 4 | [](https://pypi.python.org/pypi/graphblas-algorithms/) |
| 5 | +[](https://pypi.python.org/pypi/graphblas-algorithms/) |
5 | 6 | [](https://github.com/python-graphblas/graphblas-algorithms/blob/main/LICENSE) |
| 7 | +<br> |
6 | 8 | [](https://github.com/python-graphblas/graphblas-algorithms/actions) |
7 | 9 | [](https://codecov.io/gh/python-graphblas/graphblas-algorithms) |
8 | 10 | [](https://doi.org/10.5281/zenodo.7329185) |
9 | 11 | [](https://discord.com/invite/vur45CbwMz) |
10 | 12 | <!--- [](https://graphblas-algorithms.readthedocs.io/en/latest/) ---> |
11 | 13 |
|
12 | | -GraphBLAS algorithms written in Python with [Python-graphblas](https://python-graphblas.readthedocs.io/en/latest/). We are trying to target the NetworkX API algorithms where possible. |
| 14 | +`graphblas-algorithms` is a collection of GraphBLAS algorithms written using |
| 15 | +[`python-graphblas`](https://python-graphblas.readthedocs.io/en/latest/). |
| 16 | +It may be used directly or as an experimental |
| 17 | +[backend to NetworkX](https://networkx.org/documentation/stable/reference/classes/index.html#backends). |
| 18 | + |
| 19 | +Why use GraphBLAS Algorithms? Because it is *fast*, *flexible*, and *familiar* by using the NetworkX API. |
| 20 | + |
| 21 | +Are we missing any [algorithms](#Plugin-Algorithms) that you want? |
| 22 | +[Please let us know!](https://github.com/python-graphblas/graphblas-algorithms/issues) |
| 23 | +<br> |
| 24 | +<img src="docs/_static/img/graphblas-vs-networkx.png" alt="GraphBLAS vs NetworkX" title="Even faster than scipy.sparse!" width="640" /> |
| 25 | +<br> |
| 26 | +<img src="docs/_static/img/graphblas-vs-igraph.png" alt="GraphBLAS vs igraph" title="igraph may use different algorithms for PageRank" width="600" /> |
13 | 27 |
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14 | 28 | ### Installation |
15 | 29 | ``` |
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